@inproceedings{b22c91820b2c40cfb7b51f94c77d204c,
title = "A quantitative SNR analysis of LFM signals in the linear canonical transform domain with Gaussian Windows",
abstract = "In this paper, the relationship between the linear canonical transform (LCT) and the Wigner-Ville distribution (WVD) is analyzed and proved. Based on this relationship, we present a quantitative signal-to-noise ratio (SNR) analysis of linear frequency modulated (LFM) signals in the LCT domain with Gaussian windows. The 3dB SNR definition is used. The SNR in LCT domain is compared with the SNRs in time domain, the short-time Fourier transform (STFT) domain and the pseudo-WVD domain, respectively, and come to a conclusion that the SNR in the LCT domain can achieve a significantly higher level than the SNRs in the other three domains. Some simulation results are presented to confirm the theoretical results.",
keywords = "Gaussian window, LFM signal, Linear canonical transform, SNR analysis",
author = "Wu Yang and Li, {Bing Zhao} and Cheng, {Qi Yuan}",
note = "Publisher Copyright: {\textcopyright} 2013 IEEE.; 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 ; Conference date: 20-12-2013 Through 22-12-2013",
year = "2013",
doi = "10.1109/MEC.2013.6885291",
language = "English",
series = "Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1426--1430",
booktitle = "Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013",
address = "United States",
}